# Senior Deep Learning Researcher, LLM Inference

**Company**: NVIDIA
**Location**: Tel Aviv
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Tel-Aviv/Senior-Deep-Learning-Researcher--LLM-Inference_JR2017410-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ccdf156c-e9c

## Description

**Job Overview** We are seeking a highly motivated Senior Deep Learning Researcher to join our team. This is an outstanding opportunity to conduct impactful research and develop the next generation of large language model (LLM) inference algorithms.

**Responsibilities**

- Research, invent, and implement groundbreaking algorithms for LLM inference to advance the state of the art in both low-latency and high-throughput scenarios.

- Translate research into practical software solutions that directly impact NVIDIA's products and customers.

- Collaborate with internal research, engineering, and product teams across the globe to drive the development of advanced inference technologies.

- Analyze the performance of new algorithms on NVIDIA’s latest hardware, identifying bottlenecks and opportunities for algorithmic optimizations.

- Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.

**Requirements**

- MSc/PhD in Computer Science, Electrical Engineering, or a closely related field.

- At least 5 years of relevant experience in deep learning research or applied research.

- Publications in a top-tier AI/ML conference (e.g., NeurIPS, ICLR, ICML).

- Deep understanding of LLM architectures coupled with hands-on experience in training large-scale models.

- Excellent programming skills, particularly in Python and deep learning frameworks like PyTorch, and experience with software engineering standards.

- A strong problem-solving mentality and a proactive attitude, driven by the ambition to deliver solutions with real-world impact.

**Nice to Have**

- Hands-on research experience in LLM inference optimization algorithms such as speculative decoding or parallelization strategies.

- Proven experience with High-Performance Computing (HPC) environments, including training or running inference on large-scale GPU clusters (tens to hundreds of GPUs).

- Deep familiarity and experience with popular LLM inference systems (e.g., vLLM, TensorRT-LLM).

- Experience from a world-class industrial research group or a top-tier institution.

## Skills

### Required
- Python
- PyTorch
- Deep learning
- LLM inference
- High-Performance Computing (HPC)
- GPU clusters

### Nice to have
- Speculative decoding
- Parallelization strategies
- vLLM
- TensorRT-LLM
- World-class industrial research group
- Top-tier institution

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